Overview

Dataset statistics

Number of variables31
Number of observations155
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.6 KiB
Average record size in memory360.9 B

Variable types

Categorical2
Numeric29

Alerts

area_code has a high cardinality: 155 distinct values High cardinality
area_name has a high cardinality: 155 distinct values High cardinality
SHAPE_Leng is highly correlated with SHAPE_Area and 11 other fieldsHigh correlation
SHAPE_Area is highly correlated with SHAPE_Leng and 12 other fieldsHigh correlation
n_traffic_lights is highly correlated with density_traffic_lights and 14 other fieldsHigh correlation
density_traffic_lights is highly correlated with SHAPE_Leng and 17 other fieldsHigh correlation
n_shops is highly correlated with n_traffic_lights and 12 other fieldsHigh correlation
density_shops is highly correlated with SHAPE_Leng and 19 other fieldsHigh correlation
street_len_tot is highly correlated with SHAPE_Leng and 4 other fieldsHigh correlation
street_density is highly correlated with SHAPE_Leng and 18 other fieldsHigh correlation
motorway_ratio is highly correlated with avg_CO_2_per_road and 2 other fieldsHigh correlation
n_food_amenities is highly correlated with n_traffic_lights and 13 other fieldsHigh correlation
density_food_amenities is highly correlated with SHAPE_Leng and 19 other fieldsHigh correlation
n_education_amenities is highly correlated with n_traffic_lights and 14 other fieldsHigh correlation
density_education_amenities is highly correlated with SHAPE_Leng and 17 other fieldsHigh correlation
n_service_amenities is highly correlated with n_traffic_lights and 16 other fieldsHigh correlation
density_service_amenities is highly correlated with SHAPE_Leng and 19 other fieldsHigh correlation
n_all_amenities is highly correlated with n_traffic_lights and 15 other fieldsHigh correlation
density_all_amenities is highly correlated with SHAPE_Leng and 19 other fieldsHigh correlation
car_accidents is highly correlated with n_traffic_lights and 16 other fieldsHigh correlation
perc_people_far_from_public_transport is highly correlated with SHAPE_Area and 11 other fieldsHigh correlation
pop_density is highly correlated with SHAPE_Leng and 19 other fieldsHigh correlation
avg_CO_2_per_road is highly correlated with SHAPE_Leng and 14 other fieldsHigh correlation
CO_2_alpha is highly correlated with street_len_tot and 4 other fieldsHigh correlation
avg_NO_x_per_road is highly correlated with density_shops and 8 other fieldsHigh correlation
NO_x_alpha is highly correlated with street_len_tot and 4 other fieldsHigh correlation
avg_PM_per_road is highly correlated with avg_CO_2_per_road and 2 other fieldsHigh correlation
PM_alpha is highly correlated with n_shops and 6 other fieldsHigh correlation
avg_VOC_per_road is highly correlated with SHAPE_Leng and 13 other fieldsHigh correlation
VOC_alpha is highly correlated with street_len_tot and 2 other fieldsHigh correlation
SHAPE_Leng is highly correlated with SHAPE_Area and 5 other fieldsHigh correlation
SHAPE_Area is highly correlated with SHAPE_Leng and 5 other fieldsHigh correlation
n_traffic_lights is highly correlated with density_traffic_lights and 9 other fieldsHigh correlation
density_traffic_lights is highly correlated with n_traffic_lights and 8 other fieldsHigh correlation
n_shops is highly correlated with n_traffic_lights and 8 other fieldsHigh correlation
density_shops is highly correlated with n_traffic_lights and 12 other fieldsHigh correlation
street_len_tot is highly correlated with SHAPE_Leng and 1 other fieldsHigh correlation
street_density is highly correlated with SHAPE_Leng and 14 other fieldsHigh correlation
motorway_ratio is highly correlated with avg_CO_2_per_road and 2 other fieldsHigh correlation
n_food_amenities is highly correlated with n_traffic_lights and 8 other fieldsHigh correlation
density_food_amenities is highly correlated with density_traffic_lights and 9 other fieldsHigh correlation
n_education_amenities is highly correlated with density_education_amenities and 2 other fieldsHigh correlation
density_education_amenities is highly correlated with n_education_amenitiesHigh correlation
n_service_amenities is highly correlated with n_traffic_lights and 11 other fieldsHigh correlation
density_service_amenities is highly correlated with n_traffic_lights and 11 other fieldsHigh correlation
n_all_amenities is highly correlated with n_traffic_lights and 9 other fieldsHigh correlation
density_all_amenities is highly correlated with n_traffic_lights and 11 other fieldsHigh correlation
car_accidents is highly correlated with n_traffic_lights and 7 other fieldsHigh correlation
perc_people_far_from_public_transport is highly correlated with density_traffic_lights and 4 other fieldsHigh correlation
pop_density is highly correlated with density_traffic_lights and 7 other fieldsHigh correlation
avg_CO_2_per_road is highly correlated with SHAPE_Leng and 5 other fieldsHigh correlation
CO_2_alpha is highly correlated with NO_x_alpha and 2 other fieldsHigh correlation
avg_NO_x_per_road is highly correlated with SHAPE_Leng and 6 other fieldsHigh correlation
NO_x_alpha is highly correlated with car_accidents and 3 other fieldsHigh correlation
avg_PM_per_road is highly correlated with avg_NO_x_per_road and 1 other fieldsHigh correlation
PM_alpha is highly correlated with CO_2_alpha and 1 other fieldsHigh correlation
avg_VOC_per_road is highly correlated with SHAPE_Leng and 6 other fieldsHigh correlation
VOC_alpha is highly correlated with CO_2_alpha and 1 other fieldsHigh correlation
SHAPE_Leng is highly correlated with SHAPE_Area and 2 other fieldsHigh correlation
SHAPE_Area is highly correlated with SHAPE_Leng and 4 other fieldsHigh correlation
n_traffic_lights is highly correlated with density_traffic_lights and 5 other fieldsHigh correlation
density_traffic_lights is highly correlated with SHAPE_Leng and 9 other fieldsHigh correlation
n_shops is highly correlated with density_shops and 4 other fieldsHigh correlation
density_shops is highly correlated with density_traffic_lights and 10 other fieldsHigh correlation
street_len_tot is highly correlated with SHAPE_Leng and 1 other fieldsHigh correlation
street_density is highly correlated with SHAPE_Area and 9 other fieldsHigh correlation
motorway_ratio is highly correlated with avg_CO_2_per_road and 2 other fieldsHigh correlation
n_food_amenities is highly correlated with n_shops and 6 other fieldsHigh correlation
density_food_amenities is highly correlated with n_traffic_lights and 10 other fieldsHigh correlation
n_education_amenities is highly correlated with density_education_amenities and 3 other fieldsHigh correlation
density_education_amenities is highly correlated with density_traffic_lights and 9 other fieldsHigh correlation
n_service_amenities is highly correlated with n_traffic_lights and 12 other fieldsHigh correlation
density_service_amenities is highly correlated with density_traffic_lights and 9 other fieldsHigh correlation
n_all_amenities is highly correlated with n_traffic_lights and 12 other fieldsHigh correlation
density_all_amenities is highly correlated with SHAPE_Area and 12 other fieldsHigh correlation
car_accidents is highly correlated with n_traffic_lights and 3 other fieldsHigh correlation
pop_density is highly correlated with density_traffic_lights and 8 other fieldsHigh correlation
avg_CO_2_per_road is highly correlated with motorway_ratio and 3 other fieldsHigh correlation
CO_2_alpha is highly correlated with NO_x_alpha and 1 other fieldsHigh correlation
avg_NO_x_per_road is highly correlated with motorway_ratio and 3 other fieldsHigh correlation
NO_x_alpha is highly correlated with CO_2_alpha and 1 other fieldsHigh correlation
avg_PM_per_road is highly correlated with avg_CO_2_per_road and 2 other fieldsHigh correlation
avg_VOC_per_road is highly correlated with motorway_ratio and 3 other fieldsHigh correlation
VOC_alpha is highly correlated with CO_2_alpha and 1 other fieldsHigh correlation
SHAPE_Leng is highly correlated with SHAPE_Area and 6 other fieldsHigh correlation
SHAPE_Area is highly correlated with SHAPE_Leng and 5 other fieldsHigh correlation
n_traffic_lights is highly correlated with density_traffic_lights and 12 other fieldsHigh correlation
density_traffic_lights is highly correlated with n_traffic_lights and 12 other fieldsHigh correlation
n_shops is highly correlated with n_traffic_lights and 13 other fieldsHigh correlation
density_shops is highly correlated with n_traffic_lights and 13 other fieldsHigh correlation
street_len_tot is highly correlated with SHAPE_Leng and 1 other fieldsHigh correlation
street_density is highly correlated with SHAPE_Leng and 12 other fieldsHigh correlation
motorway_ratio is highly correlated with SHAPE_Leng and 4 other fieldsHigh correlation
n_food_amenities is highly correlated with n_traffic_lights and 13 other fieldsHigh correlation
density_food_amenities is highly correlated with n_traffic_lights and 13 other fieldsHigh correlation
n_education_amenities is highly correlated with n_traffic_lights and 10 other fieldsHigh correlation
density_education_amenities is highly correlated with density_traffic_lights and 9 other fieldsHigh correlation
n_service_amenities is highly correlated with n_traffic_lights and 13 other fieldsHigh correlation
density_service_amenities is highly correlated with n_traffic_lights and 14 other fieldsHigh correlation
n_all_amenities is highly correlated with n_traffic_lights and 13 other fieldsHigh correlation
density_all_amenities is highly correlated with n_traffic_lights and 14 other fieldsHigh correlation
perc_roads_bc is highly correlated with motorway_ratioHigh correlation
car_accidents is highly correlated with n_traffic_lights and 14 other fieldsHigh correlation
perc_people_far_from_public_transport is highly correlated with street_density and 2 other fieldsHigh correlation
pop_density is highly correlated with n_traffic_lights and 12 other fieldsHigh correlation
avg_CO_2_per_road is highly correlated with SHAPE_Leng and 5 other fieldsHigh correlation
CO_2_alpha is highly correlated with NO_x_alpha and 2 other fieldsHigh correlation
avg_NO_x_per_road is highly correlated with SHAPE_Leng and 6 other fieldsHigh correlation
NO_x_alpha is highly correlated with CO_2_alpha and 2 other fieldsHigh correlation
avg_PM_per_road is highly correlated with n_shops and 7 other fieldsHigh correlation
PM_alpha is highly correlated with street_density and 4 other fieldsHigh correlation
avg_VOC_per_road is highly correlated with SHAPE_Leng and 5 other fieldsHigh correlation
VOC_alpha is highly correlated with car_accidents and 3 other fieldsHigh correlation
area_code is uniformly distributed Uniform
area_name is uniformly distributed Uniform
area_code has unique values Unique
area_name has unique values Unique
SHAPE_Leng has unique values Unique
SHAPE_Area has unique values Unique
density_shops has unique values Unique
street_len_tot has unique values Unique
street_density has unique values Unique
avg_CO_2_per_road has unique values Unique
CO_2_alpha has unique values Unique
avg_NO_x_per_road has unique values Unique
NO_x_alpha has unique values Unique
avg_PM_per_road has unique values Unique
PM_alpha has unique values Unique
avg_VOC_per_road has unique values Unique
VOC_alpha has unique values Unique
n_traffic_lights has 14 (9.0%) zeros Zeros
density_traffic_lights has 14 (9.0%) zeros Zeros
motorway_ratio has 105 (67.7%) zeros Zeros
n_food_amenities has 8 (5.2%) zeros Zeros
density_food_amenities has 8 (5.2%) zeros Zeros
n_education_amenities has 29 (18.7%) zeros Zeros
density_education_amenities has 29 (18.7%) zeros Zeros
n_service_amenities has 26 (16.8%) zeros Zeros
density_service_amenities has 26 (16.8%) zeros Zeros
n_all_amenities has 4 (2.6%) zeros Zeros
density_all_amenities has 4 (2.6%) zeros Zeros
perc_roads_bc has 7 (4.5%) zeros Zeros
perc_people_far_from_public_transport has 42 (27.1%) zeros Zeros
pop_density has 2 (1.3%) zeros Zeros

Reproduction

Analysis started2022-03-25 17:34:10.981273
Analysis finished2022-03-25 17:35:56.302457
Duration1 minute and 45.32 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

area_code
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
10L
 
1
3A
 
1
2A
 
1
2B
 
1
2C
 
1
Other values (150)
150 

Length

Max length3
Median length3
Mean length2.567741935
Min length2

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)100.0%

Sample

1st row10L
2nd row10A
3rd row10B
4th row10C
5th row10D

Common Values

ValueCountFrequency (%)
10L1
 
0.6%
3A1
 
0.6%
2A1
 
0.6%
2B1
 
0.6%
2C1
 
0.6%
2D1
 
0.6%
2E1
 
0.6%
2X1
 
0.6%
2Y1
 
0.6%
3B1
 
0.6%
Other values (145)145
93.5%

Length

2022-03-25T18:35:56.404739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10l1
 
0.6%
10h1
 
0.6%
11a1
 
0.6%
10b1
 
0.6%
10c1
 
0.6%
10d1
 
0.6%
10e1
 
0.6%
10f1
 
0.6%
10g1
 
0.6%
10i1
 
0.6%
Other values (145)145
93.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

area_name
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
Morena
 
1
Nomentano
 
1
Villaggio Olimpico
 
1
Parioli
 
1
Flaminio
 
1
Other values (150)
150 

Length

Max length29
Median length11
Mean length11.22580645
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)100.0%

Sample

1st rowMorena
2nd rowDon Bosco
3rd rowAppio-Claudio
4th rowQuarto Miglio
5th rowPignatelli

Common Values

ValueCountFrequency (%)
Morena1
 
0.6%
Nomentano1
 
0.6%
Villaggio Olimpico1
 
0.6%
Parioli1
 
0.6%
Flaminio1
 
0.6%
Salario1
 
0.6%
Trieste1
 
0.6%
Villa Borghese1
 
0.6%
Villa Ada1
 
0.6%
S. Lorenzo1
 
0.6%
Other values (145)145
93.5%

Length

2022-03-25T18:35:56.650110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
s9
 
3.5%
tor7
 
2.7%
di7
 
2.7%
sud6
 
2.3%
nord6
 
2.3%
castel4
 
1.6%
casal4
 
1.6%
villa3
 
1.2%
ostia3
 
1.2%
antica3
 
1.2%
Other values (184)205
79.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

SHAPE_Leng
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13181.28169
Minimum3200.992486
Maximum53007.02993
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:35:56.778290image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3200.992486
5-th percentile4832.860852
Q16737.14221
median9426.788621
Q315215.5491
95-th percentile37836.57257
Maximum53007.02993
Range49806.03744
Interquartile range (IQR)8478.406894

Descriptive statistics

Standard deviation10024.12658
Coefficient of variation (CV)0.7604819329
Kurtosis3.766068871
Mean13181.28169
Median Absolute Deviation (MAD)3439.053616
Skewness2.004645655
Sum2043098.662
Variance100483113.6
MonotonicityNot monotonic
2022-03-25T18:35:56.928715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22732.760451
 
0.6%
9426.7886211
 
0.6%
4845.759151
 
0.6%
7877.9638611
 
0.6%
7091.0660161
 
0.6%
7390.9136421
 
0.6%
7969.8354961
 
0.6%
6491.8019011
 
0.6%
10573.10561
 
0.6%
3875.9575581
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
3200.9924861
0.6%
3637.9222041
0.6%
3801.7897021
0.6%
3875.9575581
0.6%
4376.1734631
0.6%
4456.5824811
0.6%
4557.8844431
0.6%
4802.7648231
0.6%
4845.759151
0.6%
4855.9222191
0.6%
ValueCountFrequency (%)
53007.029931
0.6%
50239.74251
0.6%
47029.09981
0.6%
43514.643451
0.6%
39932.809681
0.6%
39601.038841
0.6%
39180.903331
0.6%
38458.938241
0.6%
37569.844421
0.6%
36212.636891
0.6%

SHAPE_Area
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8305879.379
Minimum461791.9654
Maximum61538180.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:35:57.076235image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum461791.9654
5-th percentile976525.214
Q11829407.273
median3184027.97
Q38387133.814
95-th percentile41628760.07
Maximum61538180.34
Range61076388.38
Interquartile range (IQR)6557726.541

Descriptive statistics

Standard deviation12502214.49
Coefficient of variation (CV)1.505224663
Kurtosis6.182098395
Mean8305879.379
Median Absolute Deviation (MAD)1799663.976
Skewness2.603170016
Sum1287411304
Variance1.563053671 × 1014
MonotonicityNot monotonic
2022-03-25T18:35:57.222463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8947226.291
 
0.6%
2930422.8031
 
0.6%
1154031.2881
 
0.6%
2080607.271
 
0.6%
1384363.9941
 
0.6%
1929304.4411
 
0.6%
2924187.3791
 
0.6%
1380360.7781
 
0.6%
2872122.0991
 
0.6%
515065.75671
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
461791.96541
0.6%
515065.75671
0.6%
650129.80241
0.6%
675930.5981
0.6%
765943.34511
0.6%
862388.08181
0.6%
872741.93381
0.6%
928054.0471
0.6%
997298.57131
0.6%
1010811.9091
0.6%
ValueCountFrequency (%)
61538180.341
0.6%
56624885.511
0.6%
51959438.571
0.6%
51753695.361
0.6%
48302924.221
0.6%
47903959.161
0.6%
472076351
0.6%
42852275.31
0.6%
41104396.41
0.6%
39055539.291
0.6%

n_traffic_lights
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct33
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.929032258
Minimum0
Maximum61
Zeros14
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:35:57.360672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8
Q313.5
95-th percentile32
Maximum61
Range61
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation10.09314392
Coefficient of variation (CV)1.016528465
Kurtosis5.204531129
Mean9.929032258
Median Absolute Deviation (MAD)5
Skewness1.970239976
Sum1539
Variance101.8715543
MonotonicityNot monotonic
2022-03-25T18:35:57.490296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
215
 
9.7%
014
 
9.0%
313
 
8.4%
1010
 
6.5%
610
 
6.5%
99
 
5.8%
19
 
5.8%
117
 
4.5%
56
 
3.9%
45
 
3.2%
Other values (23)57
36.8%
ValueCountFrequency (%)
014
9.0%
19
5.8%
215
9.7%
313
8.4%
45
 
3.2%
56
 
3.9%
610
6.5%
74
 
2.6%
85
 
3.2%
99
5.8%
ValueCountFrequency (%)
611
0.6%
432
1.3%
411
0.6%
371
0.6%
361
0.6%
331
0.6%
322
1.3%
292
1.3%
271
0.6%
241
0.6%

density_traffic_lights
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct142
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.235346783
Minimum0
Maximum26.00472142
Zeros14
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:35:57.632621image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4088539213
median2.020844272
Q36.312453072
95-th percentile13.49204186
Maximum26.00472142
Range26.00472142
Interquartile range (IQR)5.903599151

Descriptive statistics

Standard deviation5.249027259
Coefficient of variation (CV)1.239338247
Kurtosis3.781129577
Mean4.235346783
Median Absolute Deviation (MAD)1.967864033
Skewness1.88167511
Sum656.4787514
Variance27.55228716
MonotonicityNot monotonic
2022-03-25T18:35:57.784078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
9.0%
1.1176648131
 
0.6%
8.6513203441
 
0.6%
22.287825121
 
0.6%
7.5234576831
 
0.6%
12.315620861
 
0.6%
2.0890476771
 
0.6%
20.816108831
 
0.6%
11.648998061
 
0.6%
9.8930373811
 
0.6%
Other values (132)132
85.2%
ValueCountFrequency (%)
014
9.0%
0.019245781471
 
0.6%
0.019322291731
 
0.6%
0.020702680351
 
0.6%
0.032500148511
 
0.6%
0.044359161761
 
0.6%
0.051209125171
 
0.6%
0.052980239571
 
0.6%
0.054801457711
 
0.6%
0.083500405191
 
0.6%
ValueCountFrequency (%)
26.004721421
0.6%
23.325512581
0.6%
22.287825121
0.6%
21.079567491
0.6%
20.816108831
0.6%
18.55313211
0.6%
18.241627961
0.6%
13.905194451
0.6%
13.314976461
0.6%
12.793256621
0.6%

n_shops
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct150
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean824.9548387
Minimum1
Maximum9965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:35:57.929686image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30.2
Q1228.5
median537
Q3965.5
95-th percentile2528.3
Maximum9965
Range9964
Interquartile range (IQR)737

Descriptive statistics

Standard deviation1109.876461
Coefficient of variation (CV)1.345378448
Kurtosis32.27636359
Mean824.9548387
Median Absolute Deviation (MAD)344
Skewness4.695730578
Sum127868
Variance1231825.758
MonotonicityNot monotonic
2022-03-25T18:35:58.080750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12
 
1.3%
3752
 
1.3%
1062
 
1.3%
8442
 
1.3%
3662
 
1.3%
6601
 
0.6%
19241
 
0.6%
24981
 
0.6%
2211
 
0.6%
21801
 
0.6%
Other values (140)140
90.3%
ValueCountFrequency (%)
12
1.3%
81
0.6%
111
0.6%
121
0.6%
131
0.6%
171
0.6%
261
0.6%
321
0.6%
361
0.6%
411
0.6%
ValueCountFrequency (%)
99651
0.6%
61241
0.6%
35721
0.6%
29431
0.6%
29091
0.6%
26541
0.6%
26021
0.6%
25991
0.6%
24981
0.6%
23461
0.6%

density_shops
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318.3030897
Minimum0.09213273369
Maximum3109.385419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:35:58.228228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.09213273369
5-th percentile3.11203669
Q141.69945456
median128.0516136
Q3386.1665398
95-th percentile1219.567919
Maximum3109.385419
Range3109.293286
Interquartile range (IQR)344.4670852

Descriptive statistics

Standard deviation471.6799437
Coefficient of variation (CV)1.481857886
Kurtosis9.935020815
Mean318.3030897
Median Absolute Deviation (MAD)110.9722924
Skewness2.790408818
Sum49336.97891
Variance222481.9693
MonotonicityNot monotonic
2022-03-25T18:35:58.369956image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.29582211
 
0.6%
743.9199551
 
0.6%
53.724713231
 
0.6%
413.82148981
 
0.6%
476.75322611
 
0.6%
997.25059391
 
0.6%
854.25442241
 
0.6%
76.791518311
 
0.6%
76.946589451
 
0.6%
1498.837751
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
0.092132733691
0.6%
0.17875081681
0.6%
0.33836943141
0.6%
0.3718276991
0.6%
0.55075836771
0.6%
0.69560250241
0.6%
1.173992671
0.6%
1.5084959481
0.6%
3.7992684361
0.6%
3.8517849751
0.6%
ValueCountFrequency (%)
3109.3854191
0.6%
2056.1792761
0.6%
1980.3583921
0.6%
1949.2384411
0.6%
1677.6597221
0.6%
1498.837751
0.6%
1384.5196481
0.6%
1298.2022931
0.6%
1185.8674731
0.6%
1168.2911391
0.6%

street_len_tot
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51141.94154
Minimum0
Maximum230051.093
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:35:58.520752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11428.8079
Q122640.2645
median40642.781
Q363522.487
95-th percentile127432.4559
Maximum230051.093
Range230051.093
Interquartile range (IQR)40882.2225

Descriptive statistics

Standard deviation41592.71513
Coefficient of variation (CV)0.8132799395
Kurtosis4.620809774
Mean51141.94154
Median Absolute Deviation (MAD)19526.746
Skewness1.960153377
Sum7927000.939
Variance1729953952
MonotonicityNot monotonic
2022-03-25T18:35:58.674330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90462.5091
 
0.6%
69556.641
 
0.6%
18453.5611
 
0.6%
30795.31
 
0.6%
25974.2881
 
0.6%
44554.7141
 
0.6%
56982.4821
 
0.6%
12305.8621
 
0.6%
19562.2931
 
0.6%
12076.9971
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
01
0.6%
3485.7621
0.6%
8640.61
0.6%
8779.6931
0.6%
8779.841
0.6%
10072.5091
0.6%
10211.641
0.6%
11279.9411
0.6%
11492.6081
0.6%
11568.0221
0.6%
ValueCountFrequency (%)
230051.0931
0.6%
216206.5661
0.6%
203182.3121
0.6%
185745.3651
0.6%
184351.6321
0.6%
154909.6921
0.6%
135244.8871
0.6%
130585.2511
0.6%
126081.2581
0.6%
122690.9311
0.6%

street_density
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.45661353
Minimum0
Maximum29.38634742
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:35:58.821172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.258206027
Q16.960833012
median11.10236172
Q315.76385089
95-th percentile20.61509385
Maximum29.38634742
Range29.38634742
Interquartile range (IQR)8.803017876

Descriptive statistics

Standard deviation5.911868144
Coefficient of variation (CV)0.5160223071
Kurtosis-0.4307480663
Mean11.45661353
Median Absolute Deviation (MAD)4.495930389
Skewness0.1798118359
Sum1775.775097
Variance34.95018495
MonotonicityNot monotonic
2022-03-25T18:35:59.073521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.110676321
 
0.6%
23.736042431
 
0.6%
15.990520531
 
0.6%
14.801111411
 
0.6%
18.762614541
 
0.6%
23.093666841
 
0.6%
19.486604181
 
0.6%
8.9149606341
 
0.6%
6.8110937931
 
0.6%
23.447485771
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
01
0.6%
0.18811891961
0.6%
0.90405682381
0.6%
1.6783007121
0.6%
1.7290429361
0.6%
1.8651760881
0.6%
1.9520641771
0.6%
2.2210636851
0.6%
2.2741241731
0.6%
2.386653381
0.6%
ValueCountFrequency (%)
29.386347421
0.6%
23.736042431
0.6%
23.447485771
0.6%
23.434919121
0.6%
23.269479751
0.6%
23.093666841
0.6%
21.764464741
0.6%
20.880767921
0.6%
20.501233531
0.6%
20.378717961
0.6%

motorway_ratio
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct51
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3252067327
Minimum0
Maximum4.210526316
Zeros105
Zeros (%)67.7%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:35:59.217398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.3024799242
95-th percentile1.904643213
Maximum4.210526316
Range4.210526316
Interquartile range (IQR)0.3024799242

Descriptive statistics

Standard deviation0.7055956595
Coefficient of variation (CV)2.169683431
Kurtosis9.478841279
Mean0.3252067327
Median Absolute Deviation (MAD)0
Skewness2.923330283
Sum50.40704357
Variance0.4978652347
MonotonicityNot monotonic
2022-03-25T18:35:59.352922image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0105
67.7%
0.2728512961
 
0.6%
0.4889975551
 
0.6%
0.68649885581
 
0.6%
1.0309278351
 
0.6%
1.8518518521
 
0.6%
1.7964071861
 
0.6%
1.9370460051
 
0.6%
1.56251
 
0.6%
1.1673151751
 
0.6%
Other values (41)41
 
26.5%
ValueCountFrequency (%)
0105
67.7%
0.077881619941
 
0.6%
0.14177693761
 
0.6%
0.16666666671
 
0.6%
0.19531251
 
0.6%
0.20366598781
 
0.6%
0.21111893031
 
0.6%
0.25510204081
 
0.6%
0.2728512961
 
0.6%
0.28571428571
 
0.6%
ValueCountFrequency (%)
4.2105263161
0.6%
3.5276073621
0.6%
2.6143790851
0.6%
2.5700934581
0.6%
2.3529411761
0.6%
2.1739130431
0.6%
2.1611001961
0.6%
1.9370460051
0.6%
1.8907563031
0.6%
1.8518518521
0.6%

n_food_amenities
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct62
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.69677419
Minimum0
Maximum576
Zeros8
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:35:59.498327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q14
median15
Q329.5
95-th percentile96.2
Maximum576
Range576
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation60.51138931
Coefficient of variation (CV)1.971262157
Kurtosis46.10947191
Mean30.69677419
Median Absolute Deviation (MAD)11
Skewness5.957753735
Sum4758
Variance3661.628236
MonotonicityNot monotonic
2022-03-25T18:35:59.641636image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
413
 
8.4%
08
 
5.2%
37
 
4.5%
16
 
3.9%
156
 
3.9%
76
 
3.9%
96
 
3.9%
26
 
3.9%
65
 
3.2%
124
 
2.6%
Other values (52)88
56.8%
ValueCountFrequency (%)
08
5.2%
16
3.9%
26
3.9%
37
4.5%
413
8.4%
54
 
2.6%
65
 
3.2%
76
3.9%
81
 
0.6%
96
3.9%
ValueCountFrequency (%)
5761
0.6%
3191
0.6%
2001
0.6%
1951
0.6%
1751
0.6%
1331
0.6%
1311
0.6%
991
0.6%
951
0.6%
871
0.6%

density_food_amenities
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct148
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.87328195
Minimum0
Maximum179.7296539
Zeros8
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:35:59.789928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01347204703
Q10.9349173497
median3.035600639
Q312.80044876
95-th percentile82.00493059
Maximum179.7296539
Range179.7296539
Interquartile range (IQR)11.86553141

Descriptive statistics

Standard deviation27.18560841
Coefficient of variation (CV)1.959565769
Kurtosis12.66341332
Mean13.87328195
Median Absolute Deviation (MAD)2.900344596
Skewness3.324487273
Sum2150.358702
Variance739.0573045
MonotonicityNot monotonic
2022-03-25T18:35:59.942375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08
 
5.2%
9.407996121
 
0.6%
3.4661105311
 
0.6%
12.976980521
 
0.6%
20.948247811
 
0.6%
39.910756621
 
0.6%
26.674077241
 
0.6%
13.764517431
 
0.6%
1.3926984521
 
0.6%
24.228585691
 
0.6%
Other values (138)138
89.0%
ValueCountFrequency (%)
08
5.2%
0.019245781471
 
0.6%
0.04175020261
 
0.6%
0.064544101831
 
0.6%
0.087365569221
 
0.6%
0.09401373951
 
0.6%
0.10351340171
 
0.6%
0.1236205591
 
0.6%
0.12394256631
 
0.6%
0.12709808491
 
0.6%
ValueCountFrequency (%)
179.72965391
0.6%
128.13897861
0.6%
107.64397071
0.6%
103.15714031
0.6%
99.758902921
0.6%
94.008884031
0.6%
93.827416891
0.6%
89.364542021
0.6%
78.850811411
0.6%
63.615998631
0.6%

n_education_amenities
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct26
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.135483871
Minimum0
Maximum103
Zeros29
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:00.083687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q37
95-th percentile18.3
Maximum103
Range103
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.932942319
Coefficient of variation (CV)1.618933816
Kurtosis59.06901311
Mean6.135483871
Median Absolute Deviation (MAD)3
Skewness6.492197647
Sum951
Variance98.66334311
MonotonicityNot monotonic
2022-03-25T18:36:00.205450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
029
18.7%
117
11.0%
216
10.3%
714
9.0%
311
 
7.1%
611
 
7.1%
510
 
6.5%
410
 
6.5%
115
 
3.2%
94
 
2.6%
Other values (16)28
18.1%
ValueCountFrequency (%)
029
18.7%
117
11.0%
216
10.3%
311
 
7.1%
410
 
6.5%
510
 
6.5%
611
 
7.1%
714
9.0%
84
 
2.6%
94
 
2.6%
ValueCountFrequency (%)
1031
0.6%
341
0.6%
321
0.6%
261
0.6%
221
0.6%
212
1.3%
191
0.6%
182
1.3%
171
0.6%
161
0.6%

density_education_amenities
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct127
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.769614947
Minimum0
Maximum101.898285
Zeros29
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:00.341577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1601660869
median0.9671979462
Q33.12508523
95-th percentile8.833816498
Maximum101.898285
Range101.898285
Interquartile range (IQR)2.964919143

Descriptive statistics

Standard deviation8.462593367
Coefficient of variation (CV)3.0555126
Kurtosis124.1022734
Mean2.769614947
Median Absolute Deviation (MAD)0.9671979462
Skewness10.60870882
Sum429.2903167
Variance71.6154865
MonotonicityNot monotonic
2022-03-25T18:36:00.492797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029
 
18.7%
0.89413185061
 
0.6%
3.3644023561
 
0.6%
1.2231460321
 
0.6%
4.6981085541
 
0.6%
4.3740899371
 
0.6%
2.3857041681
 
0.6%
1.9748432411
 
0.6%
101.8982851
 
0.6%
9.7074983821
 
0.6%
Other values (117)117
75.5%
ValueCountFrequency (%)
029
18.7%
0.017660079861
 
0.6%
0.023335983751
 
0.6%
0.027400728851
 
0.6%
0.042366028291
 
0.6%
0.087604108831
 
0.6%
0.10889057021
 
0.6%
0.12802281291
 
0.6%
0.13307748531
 
0.6%
0.14324290091
 
0.6%
ValueCountFrequency (%)
101.8982851
0.6%
12.831041081
0.6%
11.595707561
0.6%
10.994804921
0.6%
10.184334271
0.6%
9.9849807731
0.6%
9.7074983821
0.6%
9.2289262511
0.6%
8.6644837471
0.6%
8.0428087821
0.6%

n_service_amenities
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct32
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.529032258
Minimum0
Maximum63
Zeros26
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:00.628757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q311
95-th percentile29.6
Maximum63
Range63
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.05588907
Coefficient of variation (CV)1.179018763
Kurtosis6.24970555
Mean8.529032258
Median Absolute Deviation (MAD)4
Skewness2.147745716
Sum1322
Variance101.1209049
MonotonicityNot monotonic
2022-03-25T18:36:00.751356image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
026
16.8%
213
 
8.4%
111
 
7.1%
311
 
7.1%
810
 
6.5%
410
 
6.5%
68
 
5.2%
58
 
5.2%
97
 
4.5%
155
 
3.2%
Other values (22)46
29.7%
ValueCountFrequency (%)
026
16.8%
111
7.1%
213
8.4%
311
7.1%
410
 
6.5%
58
 
5.2%
68
 
5.2%
75
 
3.2%
810
 
6.5%
97
 
4.5%
ValueCountFrequency (%)
631
 
0.6%
451
 
0.6%
371
 
0.6%
351
 
0.6%
332
1.3%
321
 
0.6%
311
 
0.6%
293
1.9%
243
1.9%
231
 
0.6%

density_service_amenities
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct130
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.605963195
Minimum0
Maximum25.15051109
Zeros26
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:00.886974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2326878783
median1.217644564
Q35.505662565
95-th percentile15.07494617
Maximum25.15051109
Range25.15051109
Interquartile range (IQR)5.272974687

Descriptive statistics

Standard deviation4.996017723
Coefficient of variation (CV)1.385487719
Kurtosis3.689847452
Mean3.605963195
Median Absolute Deviation (MAD)1.217644564
Skewness1.942712806
Sum558.9242953
Variance24.96019308
MonotonicityNot monotonic
2022-03-25T18:36:01.037286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
026
 
16.8%
1.0058983321
 
0.6%
0.34817461291
 
0.6%
6.7288047121
 
0.6%
5.7788269831
 
0.6%
10.88475181
 
0.6%
10.601235831
 
0.6%
0.7244482861
 
0.6%
10.919925941
 
0.6%
1.014885971
 
0.6%
Other values (120)120
77.4%
ValueCountFrequency (%)
026
16.8%
0.017660079861
 
0.6%
0.058243712811
 
0.6%
0.081689241431
 
0.6%
0.096068177781
 
0.6%
0.11667991871
 
0.6%
0.12164148941
 
0.6%
0.12683014621
 
0.6%
0.13307748531
 
0.6%
0.14324290091
 
0.6%
ValueCountFrequency (%)
25.150511091
0.6%
21.65477261
0.6%
19.65793091
0.6%
18.811678841
0.6%
16.964009151
0.6%
16.233990591
0.6%
15.511792621
0.6%
15.381543751
0.6%
14.94354721
0.6%
14.551947681
0.6%

n_all_amenities
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct78
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.36129032
Minimum0
Maximum671
Zeros4
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:01.184136image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19.5
median24
Q348
95-th percentile136.4
Maximum671
Range671
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation73.51101021
Coefficient of variation (CV)1.620567001
Kurtosis37.00650055
Mean45.36129032
Median Absolute Deviation (MAD)18
Skewness5.189303578
Sum7031
Variance5403.868622
MonotonicityNot monotonic
2022-03-25T18:36:01.442932image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136
 
3.9%
15
 
3.2%
245
 
3.2%
25
 
3.2%
34
 
2.6%
54
 
2.6%
04
 
2.6%
94
 
2.6%
74
 
2.6%
274
 
2.6%
Other values (68)110
71.0%
ValueCountFrequency (%)
04
2.6%
15
3.2%
25
3.2%
34
2.6%
43
1.9%
54
2.6%
63
1.9%
74
2.6%
83
1.9%
94
2.6%
ValueCountFrequency (%)
6711
0.6%
3981
0.6%
2471
0.6%
2201
0.6%
2161
0.6%
1901
0.6%
1631
0.6%
1421
0.6%
1341
0.6%
1321
0.6%

density_all_amenities
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct152
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.24886009
Minimum0
Maximum209.3725656
Zeros4
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:01.589427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0851728482
Q11.344511452
median5.364791103
Q319.71025652
95-th percentile111.8198152
Maximum209.3725656
Range209.3725656
Interquartile range (IQR)18.36574507

Descriptive statistics

Standard deviation34.38046628
Coefficient of variation (CV)1.697896382
Kurtosis8.371430458
Mean20.24886009
Median Absolute Deviation (MAD)5.15417269
Skewness2.75215454
Sum3138.573314
Variance1182.016462
MonotonicityNot monotonic
2022-03-25T18:36:01.732408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04
 
2.6%
149.49547511
 
0.6%
23.070187581
 
0.6%
31.783548411
 
0.6%
56.497045081
 
0.6%
44.45679541
 
0.6%
17.386758861
 
0.6%
2.0890476771
 
0.6%
37.878493121
 
0.6%
115.74853741
 
0.6%
Other values (142)142
91.6%
ValueCountFrequency (%)
04
2.6%
0.019245781471
 
0.6%
0.027400728851
 
0.6%
0.04175020261
 
0.6%
0.064544101831
 
0.6%
0.09401373951
 
0.6%
0.10351340171
 
0.6%
0.12394256631
 
0.6%
0.13525604211
 
0.6%
0.1456092821
 
0.6%
ValueCountFrequency (%)
209.37256561
0.6%
149.49547511
0.6%
128.70389291
0.6%
123.13098881
0.6%
121.44447971
0.6%
118.43788691
0.6%
115.74853741
0.6%
115.21389551
0.6%
110.36520941
0.6%
106.68050961
0.6%

perc_roads_bc
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct148
Distinct (%)96.1%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean4.889535302
Minimum0
Maximum44
Zeros7
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:01.881200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1849419259
Q12.293276344
median3.998507887
Q36.032101469
95-th percentile11.45331707
Maximum44
Range44
Interquartile range (IQR)3.738825126

Descriptive statistics

Standard deviation4.712050106
Coefficient of variation (CV)0.9637010095
Kurtosis31.06720323
Mean4.889535302
Median Absolute Deviation (MAD)1.925524712
Skewness4.315760551
Sum752.9884364
Variance22.2034162
MonotonicityNot monotonic
2022-03-25T18:36:02.023743image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07
 
4.5%
2.4471635151
 
0.6%
1.6483516481
 
0.6%
1.2448132781
 
0.6%
1.2618296531
 
0.6%
2.7707808561
 
0.6%
0.16638935111
 
0.6%
2.811244981
 
0.6%
11.764705881
 
0.6%
4.3610547671
 
0.6%
Other values (138)138
89.0%
ValueCountFrequency (%)
07
4.5%
0.16638935111
 
0.6%
0.19493177391
 
0.6%
0.38461538461
 
0.6%
0.41493775931
 
0.6%
0.49019607841
 
0.6%
0.51679586561
 
0.6%
0.781251
 
0.6%
0.98814229251
 
0.6%
1.0526315791
 
0.6%
ValueCountFrequency (%)
441
0.6%
19.402985071
0.6%
18.947368421
0.6%
15.430267061
0.6%
15.28545121
0.6%
13.402061861
0.6%
11.764705881
0.6%
11.682242991
0.6%
11.330049261
0.6%
10.869565221
0.6%

car_accidents
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct126
Distinct (%)81.8%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean182.3051948
Minimum11
Maximum691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:02.164939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile30.65
Q176.25
median145
Q3243.5
95-th percentile428.25
Maximum691
Range680
Interquartile range (IQR)167.25

Descriptive statistics

Standard deviation140.5496832
Coefficient of variation (CV)0.7709581908
Kurtosis2.114675333
Mean182.3051948
Median Absolute Deviation (MAD)78.5
Skewness1.412174916
Sum28075
Variance19754.21344
MonotonicityNot monotonic
2022-03-25T18:36:02.307389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1273
 
1.9%
1153
 
1.9%
333
 
1.9%
1822
 
1.3%
1322
 
1.3%
1402
 
1.3%
1852
 
1.3%
1022
 
1.3%
1062
 
1.3%
672
 
1.3%
Other values (116)131
84.5%
ValueCountFrequency (%)
111
 
0.6%
142
1.3%
221
 
0.6%
241
 
0.6%
281
 
0.6%
291
 
0.6%
301
 
0.6%
311
 
0.6%
333
1.9%
341
 
0.6%
ValueCountFrequency (%)
6911
0.6%
6681
0.6%
6631
0.6%
5811
0.6%
5481
0.6%
5451
0.6%
5321
0.6%
4381
0.6%
4231
0.6%
4211
0.6%

perc_people_far_from_public_transport
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct97
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.06129032
Minimum0
Maximum100
Zeros42
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:02.462936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median34.3
Q383.3
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)83.3

Descriptive statistics

Standard deviation39.35326252
Coefficient of variation (CV)0.9356171011
Kurtosis-1.5889077
Mean42.06129032
Median Absolute Deviation (MAD)34.3
Skewness0.2566873712
Sum6519.5
Variance1548.679271
MonotonicityNot monotonic
2022-03-25T18:36:02.611765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
042
27.1%
10011
 
7.1%
74.52
 
1.3%
0.22
 
1.3%
8.82
 
1.3%
99.42
 
1.3%
99.22
 
1.3%
97.32
 
1.3%
96.52
 
1.3%
2.81
 
0.6%
Other values (87)87
56.1%
ValueCountFrequency (%)
042
27.1%
0.22
 
1.3%
0.31
 
0.6%
0.51
 
0.6%
0.61
 
0.6%
0.81
 
0.6%
1.21
 
0.6%
1.51
 
0.6%
2.51
 
0.6%
2.81
 
0.6%
ValueCountFrequency (%)
10011
7.1%
99.81
 
0.6%
99.51
 
0.6%
99.42
 
1.3%
99.22
 
1.3%
991
 
0.6%
97.32
 
1.3%
96.52
 
1.3%
95.81
 
0.6%
94.51
 
0.6%

pop_density
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct143
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.79806452
Minimum0
Maximum259.3
Zeros2
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:02.753415image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.97
Q17.8
median48.5
Q385.7
95-th percentile186.25
Maximum259.3
Range259.3
Interquartile range (IQR)77.9

Descriptive statistics

Standard deviation60.51776435
Coefficient of variation (CV)0.9953896531
Kurtosis0.8597614069
Mean60.79806452
Median Absolute Deviation (MAD)38.7
Skewness1.183332049
Sum9423.7
Variance3662.399801
MonotonicityNot monotonic
2022-03-25T18:36:02.903389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.23
 
1.9%
2.83
 
1.9%
3.92
 
1.3%
69.42
 
1.3%
4.62
 
1.3%
1.62
 
1.3%
7.72
 
1.3%
56.82
 
1.3%
02
 
1.3%
26.52
 
1.3%
Other values (133)133
85.8%
ValueCountFrequency (%)
02
1.3%
0.11
 
0.6%
0.21
 
0.6%
0.31
 
0.6%
0.71
 
0.6%
0.81
 
0.6%
0.91
 
0.6%
11
 
0.6%
1.23
1.9%
1.31
 
0.6%
ValueCountFrequency (%)
259.31
0.6%
236.31
0.6%
225.91
0.6%
224.21
0.6%
219.91
0.6%
210.91
0.6%
204.31
0.6%
194.31
0.6%
182.81
0.6%
180.61
0.6%

avg_CO_2_per_road
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.9387964
Minimum10.13786216
Maximum1158.602877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:03.047547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10.13786216
5-th percentile15.698633
Q128.92320583
median74.70994541
Q3215.0012655
95-th percentile678.6722982
Maximum1158.602877
Range1148.465015
Interquartile range (IQR)186.0780597

Descriptive statistics

Standard deviation212.4247176
Coefficient of variation (CV)1.280138956
Kurtosis4.732801957
Mean165.9387964
Median Absolute Deviation (MAD)55.72687154
Skewness2.124218564
Sum25720.51345
Variance45124.26066
MonotonicityNot monotonic
2022-03-25T18:36:03.193219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.69179021
 
0.6%
54.145526531
 
0.6%
31.411249671
 
0.6%
55.624695061
 
0.6%
39.801037671
 
0.6%
38.48619071
 
0.6%
86.958664211
 
0.6%
67.394450861
 
0.6%
209.61273331
 
0.6%
18.624669881
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
10.137862161
0.6%
12.590561971
0.6%
13.534881811
0.6%
14.000125341
0.6%
14.084396841
0.6%
14.448890171
0.6%
14.63471761
0.6%
15.644812941
0.6%
15.721698731
0.6%
16.404358831
0.6%
ValueCountFrequency (%)
1158.6028771
0.6%
962.66029641
0.6%
821.11763861
0.6%
751.34676691
0.6%
743.76271931
0.6%
737.00423171
0.6%
726.38834151
0.6%
707.35288911
0.6%
666.38061641
0.6%
663.82120851
0.6%

CO_2_alpha
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.396024365
Minimum1.000000537
Maximum1.747615063
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:03.338894image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.000000537
5-th percentile1.04683818
Q11.265555954
median1.402202396
Q31.550626697
95-th percentile1.680932565
Maximum1.747615063
Range0.7476145254
Interquartile range (IQR)0.2850707426

Descriptive statistics

Standard deviation0.1918057182
Coefficient of variation (CV)0.1373942483
Kurtosis-0.7317940153
Mean1.396024365
Median Absolute Deviation (MAD)0.142797212
Skewness-0.2488505292
Sum216.3837765
Variance0.03678943354
MonotonicityNot monotonic
2022-03-25T18:36:03.494209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3796725881
 
0.6%
1.5643613511
 
0.6%
1.3851218751
 
0.6%
1.4589250031
 
0.6%
1.3654879991
 
0.6%
1.4895264281
 
0.6%
1.6721723571
 
0.6%
1.3918118051
 
0.6%
1.348904831
 
0.6%
1.1100337141
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
1.0000005371
0.6%
1.0000022281
0.6%
1.0000036521
0.6%
1.0000143981
0.6%
1.0000641511
0.6%
1.0088502651
0.6%
1.0139080371
0.6%
1.0448346861
0.6%
1.0476968211
0.6%
1.0593785721
0.6%
ValueCountFrequency (%)
1.7476150631
0.6%
1.7299861841
0.6%
1.7259478961
0.6%
1.7089252251
0.6%
1.7046787361
0.6%
1.7046282511
0.6%
1.6929785431
0.6%
1.6815998721
0.6%
1.6806465761
0.6%
1.6770020861
0.6%

avg_NO_x_per_road
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07039791959
Minimum0.008422463079
Maximum0.3475679925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:03.654084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.008422463079
5-th percentile0.01268312568
Q10.02131268068
median0.04259019932
Q30.08766160182
95-th percentile0.2592950028
Maximum0.3475679925
Range0.3391455294
Interquartile range (IQR)0.06634892114

Descriptive statistics

Standard deviation0.07535244749
Coefficient of variation (CV)1.070378897
Kurtosis3.385913384
Mean0.07039791959
Median Absolute Deviation (MAD)0.02562447623
Skewness1.958622689
Sum10.91167754
Variance0.005677991343
MonotonicityNot monotonic
2022-03-25T18:36:03.908485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.028145217871
 
0.6%
0.032783925331
 
0.6%
0.02034846741
 
0.6%
0.050200490941
 
0.6%
0.027659940711
 
0.6%
0.030757411531
 
0.6%
0.043785449981
 
0.6%
0.039545803871
 
0.6%
0.086730528541
 
0.6%
0.015410183791
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
0.0084224630791
0.6%
0.008827288971
0.6%
0.0099812330661
0.6%
0.010400059171
0.6%
0.011605745691
0.6%
0.01188485441
0.6%
0.011969884121
0.6%
0.012650395531
0.6%
0.01269715291
0.6%
0.012986666281
0.6%
ValueCountFrequency (%)
0.34756799251
0.6%
0.34513303321
0.6%
0.32487132711
0.6%
0.31113001281
0.6%
0.27543461881
0.6%
0.26506441661
0.6%
0.26351300731
0.6%
0.26196015011
0.6%
0.25815279691
0.6%
0.25134714761
0.6%

NO_x_alpha
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.404930713
Minimum1
Maximum1.807581234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:04.056816image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.076716169
Q11.255353248
median1.40607077
Q31.563716796
95-th percentile1.731036435
Maximum1.807581234
Range0.8075812335
Interquartile range (IQR)0.3083635479

Descriptive statistics

Standard deviation0.1972605673
Coefficient of variation (CV)0.1404059044
Kurtosis-0.7626589419
Mean1.404930713
Median Absolute Deviation (MAD)0.1530441903
Skewness-0.05880672724
Sum217.7642605
Variance0.03891173142
MonotonicityNot monotonic
2022-03-25T18:36:04.205832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3799983421
 
0.6%
1.6563310891
 
0.6%
1.4239263031
 
0.6%
1.5357062611
 
0.6%
1.3031527221
 
0.6%
1.5801264771
 
0.6%
1.7420985451
 
0.6%
1.3730981191
 
0.6%
1.3140728471
 
0.6%
1.2480807541
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
11
0.6%
11
0.6%
1.0000000011
0.6%
1.000000011
0.6%
1.0082307551
0.6%
1.0208734881
0.6%
1.0675267211
0.6%
1.0721120251
0.6%
1.0786893731
0.6%
1.0802790161
0.6%
ValueCountFrequency (%)
1.8075812341
0.6%
1.7667173111
0.6%
1.7537341341
0.6%
1.7499285891
0.6%
1.7435377651
0.6%
1.7420985451
0.6%
1.7407860741
0.6%
1.7346139031
0.6%
1.7295032341
0.6%
1.7246621341
0.6%

avg_PM_per_road
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00132767906
Minimum0.0001850620453
Maximum0.008465545666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:04.363208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.0001850620453
5-th percentile0.0003569149032
Q10.0006439238826
median0.0009622520405
Q30.00150656509
95-th percentile0.003509052293
Maximum0.008465545666
Range0.008280483621
Interquartile range (IQR)0.0008626412073

Descriptive statistics

Standard deviation0.001123325331
Coefficient of variation (CV)0.8460819824
Kurtosis10.8704502
Mean0.00132767906
Median Absolute Deviation (MAD)0.000405433501
Skewness2.66543518
Sum0.2057902544
Variance1.2618598 × 10-6
MonotonicityNot monotonic
2022-03-25T18:36:04.508199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00071146886171
 
0.6%
0.0011899236731
 
0.6%
0.00066307659281
 
0.6%
0.0013077585551
 
0.6%
0.0013074972081
 
0.6%
0.0014444977891
 
0.6%
0.0014852495361
 
0.6%
0.002419313311
 
0.6%
0.001770005991
 
0.6%
0.00052804720521
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
0.00018506204531
0.6%
0.00018797521071
0.6%
0.00024284612581
0.6%
0.00030546930271
0.6%
0.00031012033041
0.6%
0.00034530144621
0.6%
0.00034710800051
0.6%
0.00035338415741
0.6%
0.000358428081
0.6%
0.00035852892531
0.6%
ValueCountFrequency (%)
0.0084655456661
0.6%
0.004682344951
0.6%
0.0046705031891
0.6%
0.0042904347661
0.6%
0.0042804630911
0.6%
0.004241560411
0.6%
0.0039956387441
0.6%
0.0037796463891
0.6%
0.0033930833951
0.6%
0.0032327377611
0.6%

PM_alpha
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.382737601
Minimum1
Maximum1.711369749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:04.651896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.068537493
Q11.288084153
median1.410161469
Q31.492630492
95-th percentile1.621105148
Maximum1.711369749
Range0.7113697487
Interquartile range (IQR)0.2045463387

Descriptive statistics

Standard deviation0.1639391195
Coefficient of variation (CV)0.1185612652
Kurtosis-0.08244808506
Mean1.382737601
Median Absolute Deviation (MAD)0.1023792826
Skewness-0.4856762505
Sum214.3243282
Variance0.0268760349
MonotonicityNot monotonic
2022-03-25T18:36:04.797938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3727796221
 
0.6%
1.3668988521
 
0.6%
1.3879253021
 
0.6%
1.4160015321
 
0.6%
1.4178795381
 
0.6%
1.3559361411
 
0.6%
1.4595806281
 
0.6%
1.4123620951
 
0.6%
1.2868235591
 
0.6%
1.3328437691
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
11
0.6%
11
0.6%
11
0.6%
11
0.6%
11
0.6%
1.0032286731
0.6%
1.0085855561
0.6%
1.0665580411
0.6%
1.069385831
0.6%
1.0723338761
0.6%
ValueCountFrequency (%)
1.7113697491
0.6%
1.7108637821
0.6%
1.6902933921
0.6%
1.6775649031
0.6%
1.675555531
0.6%
1.6681599081
0.6%
1.6464275841
0.6%
1.6339650211
0.6%
1.6155937741
0.6%
1.6004679971
0.6%

avg_VOC_per_road
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3389804839
Minimum0.05087548032
Maximum1.89892282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:04.952135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.05087548032
5-th percentile0.06070507102
Q10.09402494907
median0.1875087224
Q30.4247294586
95-th percentile1.201653953
Maximum1.89892282
Range1.84804734
Interquartile range (IQR)0.3307045096

Descriptive statistics

Standard deviation0.3673575072
Coefficient of variation (CV)1.083712853
Kurtosis3.49187424
Mean0.3389804839
Median Absolute Deviation (MAD)0.1104884647
Skewness1.933850593
Sum52.54197501
Variance0.1349515381
MonotonicityNot monotonic
2022-03-25T18:36:05.103916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.13557840981
 
0.6%
0.14660977431
 
0.6%
0.096001857951
 
0.6%
0.25542558691
 
0.6%
0.10917246471
 
0.6%
0.094790617091
 
0.6%
0.1930130311
 
0.6%
0.1253526811
 
0.6%
0.43281917351
 
0.6%
0.078515500781
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
0.050875480321
0.6%
0.051769385911
0.6%
0.052128797041
0.6%
0.055306365261
0.6%
0.057199249471
0.6%
0.058113167091
0.6%
0.058851374991
0.6%
0.060538811561
0.6%
0.060776325081
0.6%
0.06302562711
0.6%
ValueCountFrequency (%)
1.898922821
0.6%
1.5987534881
0.6%
1.5536278351
0.6%
1.333404651
0.6%
1.3214256981
0.6%
1.2990280431
0.6%
1.2921291381
0.6%
1.2051548981
0.6%
1.2001535481
0.6%
1.1816456961
0.6%

VOC_alpha
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.418492365
Minimum1
Maximum1.865922538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-03-25T18:36:05.259136image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.029207949
Q11.247556261
median1.4175284
Q31.586996497
95-th percentile1.779221232
Maximum1.865922538
Range0.8659225375
Interquartile range (IQR)0.3394402366

Descriptive statistics

Standard deviation0.2267898888
Coefficient of variation (CV)0.1598809373
Kurtosis-0.90030879
Mean1.418492365
Median Absolute Deviation (MAD)0.1696802227
Skewness0.02637150009
Sum219.8663166
Variance0.05143365366
MonotonicityNot monotonic
2022-03-25T18:36:05.406556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3601492481
 
0.6%
1.8447243291
 
0.6%
1.3227601971
 
0.6%
1.7213676741
 
0.6%
1.1014892611
 
0.6%
1.2266293171
 
0.6%
1.8659225381
 
0.6%
1.3277249131
 
0.6%
1.3814618951
 
0.6%
1.2771565071
 
0.6%
Other values (145)145
93.5%
ValueCountFrequency (%)
11
0.6%
11
0.6%
11
0.6%
1.0000000011
0.6%
1.0000000011
0.6%
1.0000000031
0.6%
1.0000000081
0.6%
1.0000000091
0.6%
1.0417256371
0.6%
1.0749315841
0.6%
ValueCountFrequency (%)
1.8659225381
0.6%
1.8657020781
0.6%
1.8447243291
0.6%
1.8327226771
0.6%
1.828169831
0.6%
1.8240293411
0.6%
1.8070484561
0.6%
1.7868891961
0.6%
1.7759349621
0.6%
1.7731299441
0.6%

Interactions

2022-03-25T18:35:51.325704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:14.118716image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:17.380091image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:20.589846image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:23.749371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:27.275860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:31.045181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:34.238382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:37.233218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:40.457731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:43.494077image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:46.524309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:49.885156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:53.219164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:56.772297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:00.310993image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:04.038615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:07.966655image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:11.728735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:15.213238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:19.040278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:22.639273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:26.080194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:29.626345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:33.311935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:36.920229image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:40.597647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:44.024087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:47.666742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:51.435517image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:14.295244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:17.476007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:20.689656image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:23.847228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:27.402328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:31.158534image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:34.327925image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:37.334266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:40.554810image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:43.587251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:46.719078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:49.981358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:53.321194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:56.892309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:00.423745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:04.157821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:08.068837image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:11.839796image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:15.324878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:19.151326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:22.746126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:26.193400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:29.854450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:33.430176image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:37.033249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:40.705414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:44.133574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:47.782441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:51.551878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:14.407705image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:17.585035image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:20.791927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:23.955740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:27.521408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:31.279224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:34.423633image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:37.440356image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:40.668313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:43.686225image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:46.819702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:50.078510image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:53.441552image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:57.025204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:00.541301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:04.284439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:08.179881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:11.960966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:15.449046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:19.274539image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:22.858870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:26.325849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:29.969224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:33.555480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:37.156819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:40.818499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:44.259333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:47.906073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:51.661880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:14.518209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:17.684116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:20.900980image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:24.058967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:27.624306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:31.382567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:34.518391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:37.545759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:40.791884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:43.786747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:46.928052image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:50.176768image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:53.573834image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:57.152038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:00.658009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:04.411366image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:08.315403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:12.079452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:15.570227image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:19.416102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:22.975955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:26.445958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:30.091542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:33.675194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:37.275157image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:40.935749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:44.382344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:48.032540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:51.770595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:14.627162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:17.785535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:21.005015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:24.173841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:27.724178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:31.478693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:34.611470image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:37.648222image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:40.901037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:43.992708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:47.028892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:50.269728image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:53.685648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:57.274396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:00.770782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:04.531903image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:08.470022image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:12.197573image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:15.685730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:19.541118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:23.088495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:26.671062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:30.207944image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:33.792032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:37.397196image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:41.044969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:44.505988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:48.154190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:51.881956image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:14.735385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:17.881814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:21.103005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:24.289977image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:27.831682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:31.572015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:34.701587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:37.753624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:41.114668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:44.086884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:47.127855image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:50.362380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:53.783143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:57.397217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:00.893984image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:04.649318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:08.602484image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:12.309263image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:15.832067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:19.649694image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:23.195914image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:26.779568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:30.322451image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:33.904953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:37.521025image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:41.155050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:44.627841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:48.276294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:51.998224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:14.844239image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:18.006989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:21.205383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:24.394662image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:27.953277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:31.673267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:34.798797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:37.863712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:41.212713image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:44.188850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:47.236712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:50.463592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:53.896015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:57.506780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:01.045280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:04.769474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:08.723162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:12.423397image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:16.038913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:19.763671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:23.431860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:26.893661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:30.450959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:34.026185image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:37.669055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:41.270957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:44.750113image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:48.402862image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:52.103811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:14.949765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:18.103861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:21.303431image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:24.496602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:28.071500image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:31.768195image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:34.889359image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:38.077146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:41.307863image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:44.287750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:47.343802image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:50.583200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:54.004473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:57.612504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:01.162847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:04.887068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:08.836546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:12.534710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:16.190135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:19.872802image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:23.543206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:27.003323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:30.561035image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:34.139350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:37.786244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:41.378189image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:44.864005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:48.525074image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:52.215712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:15.059242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:18.205006image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:21.408264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:24.619044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:28.208752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:31.866286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:34.988237image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:38.182715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:41.401274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:44.390725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:47.471489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:50.687000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:54.131912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:57.724916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:01.287525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:05.020709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:08.977849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:12.650155image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:16.322977image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:20.101649image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:23.656391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:27.121778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:30.681571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:34.262417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:37.906850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:41.496536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:44.990351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:48.648508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:52.321159image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:15.162243image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:18.300318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:21.507363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:24.722956image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:28.326896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:31.968614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:35.179317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:38.282194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:41.487642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:44.483653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:47.581842image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:50.780410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:54.297235image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:57.828738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:01.405142image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:05.142800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:09.121275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:12.755173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:16.444270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:20.217198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:23.760666image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:27.234361image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:30.794714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:34.374611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:38.023753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:41.606900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:45.112233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:48.774607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:52.435505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:15.269965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:18.407404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:21.607401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:24.828292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:28.451497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:32.069390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:35.275031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:38.387805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:41.581172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:44.582939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:47.699817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:50.878366image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:54.422949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:57.945757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:01.526768image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:05.272030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:09.264375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:12.868306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:16.571307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:20.330835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:23.872350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:27.350947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:30.911651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:34.501235image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:38.145913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:41.726867image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:45.236646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:48.894068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:52.560750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:15.382786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:18.515555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:21.717098image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:24.949569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:28.571154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:32.274244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:35.372669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:38.496691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:41.696939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:44.685945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:47.821179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:50.988131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:54.542166image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:58.061755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:01.652138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:05.403821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:09.399183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:12.988288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:16.813379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:20.455133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:23.995407image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:27.475424image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:31.038772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:34.631571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:38.275020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:41.846311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:45.361116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:49.018154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:52.781666image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:15.482737image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:18.633004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:21.837478image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:25.070777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:28.718129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:32.371352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:35.466066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:38.599752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:41.800669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:44.784495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:47.945096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:51.086015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:54.653117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:58.171348image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:01.766998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:05.526575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:09.530312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:13.099777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:16.936991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:20.566659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:24.103995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:27.587430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:31.153593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:34.747253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:38.391216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:41.957847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:45.482979image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:49.131025image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:52.887185image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:15.600178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:18.739972image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:21.948929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:25.195533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:29.074130image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:32.469368image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:35.556584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:38.712016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:41.912446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:44.882193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:48.055802image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:51.181262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:54.767781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:58.280027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:01.908440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:05.652525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:09.659344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:13.326665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:17.054504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:20.679530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:24.215533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:27.703010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:31.270304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:34.867910image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:38.512682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:42.072285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:45.604091image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:49.249763image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:52.993916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:15.710158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:18.844544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:22.054599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:25.310296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:29.224688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:32.567686image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:35.653359image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:38.824075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:42.013908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:44.987138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:48.169626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:51.284139image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:54.882651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:58.392351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:02.035429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:05.809905image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:09.912771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:13.435995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:17.178029image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:20.798068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:24.335200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:27.821100image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:31.392404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:34.985987image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:38.635691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:42.187116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:45.729839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:49.493300image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:53.097832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:15.816576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:18.953608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:22.180081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:25.517975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:29.349969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:32.669122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:35.747543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:38.937396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:42.119276image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:45.082079image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:48.280172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:51.406701image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:54.997550image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:58.501293image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:02.154040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:05.941608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:10.025878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:13.562843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:17.293209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:20.928024image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:24.449917image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:27.936202image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:31.519419image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:35.103292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:38.754170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:42.300535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:45.850872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:49.605006image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:53.212883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:15.929272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:19.061870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:22.283466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:25.620738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:29.492908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:32.798565image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:35.844440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:39.049512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:42.226285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:45.187461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:48.387721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:51.541242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:55.114620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:58.616618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:02.282861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:06.211461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:10.146746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:13.680855image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:17.416029image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:21.059233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:24.574089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:28.059626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:31.646286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:35.231160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:38.881673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:42.417893image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:45.978570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:49.726622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:53.316635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:16.031049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:19.161788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:22.484268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:25.718291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:29.620832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:32.919458image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:35.941208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:39.150583image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:42.325018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:45.281804image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:48.483233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:51.640673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:55.219928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:58.720266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:02.398629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:06.336249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:10.263693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:13.802238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:17.533078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:21.178184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:24.682483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:28.182420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:31.758289image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:35.347789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:39.003224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:42.531245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:46.213609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:49.840590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:53.419304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:16.132775image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:19.262856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:22.577194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:25.821156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:29.758441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:33.044052image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:36.032156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:39.255218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:42.419695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:45.380393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:48.578848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:51.740578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:55.324049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:58.824488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:02.510931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:06.463190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:10.380064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:13.916450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:17.648346image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:21.305676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:24.787917image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:28.289239image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:31.870920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:35.466047image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:39.116310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:42.640884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:46.319118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:49.952404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:53.545712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:16.243607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:19.373400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:22.682463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:25.997938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:29.899788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:33.165731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:36.138126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:39.374072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:42.529541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:45.484212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:48.682868image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:51.847640image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:55.438853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:58.947797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:02.761596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:06.613142image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:10.494623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:14.033673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:17.773790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:21.433102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:24.922142image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:28.407848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:31.990146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:35.590337image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:39.241945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:42.870810image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:46.446304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:50.091204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:53.658241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:16.344926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:19.583886image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:22.787018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:26.141894image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:30.029626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:33.280175image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:36.258233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:39.472162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:42.623644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:45.582320image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:48.783311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:51.959952image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:55.565178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:59.063827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:02.873618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:06.755167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:10.605886image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:14.150520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:17.894586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:21.550706image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:25.034923image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:28.525466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:32.111556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:35.706891image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:39.363935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:42.984889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:46.564040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:50.212055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:53.777275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:16.446235image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:19.695573image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:22.894895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:26.296233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:30.139878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:33.387714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:36.359856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:39.567373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:42.716057image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:45.680053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:48.897478image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:52.066065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:55.683172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:59.286328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:02.998397image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:06.893856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:10.716824image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:14.296528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:18.017475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:21.661075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:25.140755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:28.643036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:32.231723image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:35.830661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:39.606620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:43.090795image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:46.680453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:50.328785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:53.889278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:16.657877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:19.806016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:23.000424image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:26.475412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:30.258746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:33.499192image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:36.461673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:39.674288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:42.808350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:45.783909image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:49.005655image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:52.178769image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:55.808439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:59.413707image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:03.106816image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:07.023286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:10.832560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:14.414797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:18.138331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:21.775693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:25.254786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:28.765447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:32.356262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:35.951505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:39.722509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:43.206454image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:46.800999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:50.450441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:54.008407image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:16.760676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:19.918277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:23.109232image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:26.617406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:30.371125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:33.612333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:36.580180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:39.788075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:42.912597image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:45.897284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:49.127215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:52.318629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:56.064730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:59.552313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:03.242231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:07.164230image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:10.959595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:14.531161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:18.266938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:21.902853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:25.370820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:28.900155image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:32.483422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:36.077999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:39.847767image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:43.326491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:46.926722image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:50.574945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:54.126303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:16.860525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:20.029860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:23.221555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:26.732973image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:30.487092image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:33.719516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:36.702780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:39.905604image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:43.012997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:46.002921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:49.241590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:52.454835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:56.185181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:59.676116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:03.395696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:07.315351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:11.081062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:14.647284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:18.397827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:22.032350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:25.495216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:29.030542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:32.607445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:36.319791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:39.973469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:43.448557image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:47.052445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:50.702338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:54.248903image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:16.978939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:20.155279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:23.335069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:26.840615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:30.607844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:33.827677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:36.812850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:40.022985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:43.114702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:46.113294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:49.355406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:52.782938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:56.309039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:59.803737image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:03.525104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:07.465813image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:11.207770image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:14.767596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:18.532650image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:22.170858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:25.622185image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:29.158688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:32.730078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:36.446766image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:40.102379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:43.571766image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:47.182132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:50.851416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:54.360324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:17.072283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:20.257738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:23.431640image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:26.943953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:30.707132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:33.932578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:36.915466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:40.127000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:43.204731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:46.208780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:49.460071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:52.891306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:56.419670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:59.923123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:03.638248image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:07.586748image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:11.317811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:14.876546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:18.651685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:22.281141image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:25.734212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:29.270076image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:32.843051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:36.556326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:40.219741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:43.680161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:47.296753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:50.965600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:54.486444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:17.178691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:20.371990image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:23.539559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:27.050073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:30.822375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:34.037694image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:37.021950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:40.241143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:43.305982image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:46.324379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:49.678378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:53.002851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:56.539792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:00.060783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:03.768806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:07.717719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:11.445295image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:14.994320image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:18.780759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:22.403911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:25.850841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:29.390050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:33.079587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:36.681284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:40.347524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:43.798980image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:47.427739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:51.089127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:54.609566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:17.282495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:20.493748image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:23.648932image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:27.161463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:30.940307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:34.143853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:37.129671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:40.355628image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:43.403867image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:46.430298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:49.786580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:53.112507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:34:56.658284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:00.197168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:03.914194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:07.846980image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:11.588045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:15.109073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:18.909678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:22.527887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:25.971243image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:29.513319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:33.201582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:36.806446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:40.480071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:43.916128image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:47.554084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-03-25T18:35:51.212782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2022-03-25T18:36:05.601620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-03-25T18:36:05.928592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-03-25T18:36:06.374311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-03-25T18:36:06.678454image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-03-25T18:35:54.924626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
A simple visualization of nullity by column.
2022-03-25T18:35:55.706268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-03-25T18:35:55.952404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-03-25T18:35:56.098714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

area_codearea_nameSHAPE_LengSHAPE_Arean_traffic_lightsdensity_traffic_lightsn_shopsdensity_shopsstreet_len_totstreet_densitymotorway_ration_food_amenitiesdensity_food_amenitiesn_education_amenitiesdensity_education_amenitiesn_service_amenitiesdensity_service_amenitiesn_all_amenitiesdensity_all_amenitiesperc_roads_bccar_accidentsperc_people_far_from_public_transportpop_densityavg_CO_2_per_roadCO_2_alphaavg_NO_x_per_roadNO_x_alphaavg_PM_per_roadPM_alphaavg_VOC_per_roadVOC_alpha
010LMorena22732.7604558.947226e+0610.01.117665960107.29582290462.50910.1106760.000000313.46476180.89413291.005898485.3647912.447164182.02.836.945.6917901.3796730.0281451.3799980.0007111.3727800.1355781.360149
110ADon Bosco8400.0699972.256348e+0617.07.5342991854821.68181540177.64217.8064930.0000007935.012332187.9774933515.51179313258.5016182.533784367.093.6225.919.7366261.5064530.0249181.7537340.0006061.6755560.0787101.261183
210BAppio-Claudio9265.3179943.454590e+0616.04.6315201236357.78491034284.7299.9244000.0000007922.868129123.473640216.07887011232.4206391.465201239.099.886.117.3111541.4060420.0139761.2729730.0005571.5583390.0673961.041726
310CQuarto Miglio11017.0981795.030157e+069.01.789208738146.71509350001.5839.9403620.203666152.98201430.59640381.590408265.1688246.109980144.035.121.7297.3798451.3879010.1079921.4181910.0014841.2675250.5258551.523452
410DPignatelli5161.9622569.972986e+052.02.005417178178.48215711279.94111.3104950.00000077.01896122.00541744.0108351313.0352140.00000050.00.066.333.4744341.0658940.0230461.0000000.0008041.2218680.1034741.000000
510ELucrezia Romana5987.7350051.747030e+064.02.28960016493.87359422489.56112.8730240.377358169.15839900.00000021.1448001810.3031995.28301968.056.730.9312.3678621.5018200.1178201.5144720.0016011.4880190.5849301.516050
610FOsteria del Curato6781.0420752.229151e+069.04.037411271121.57093132931.71814.7732090.454545219.420626104.486012135.8318164419.7384543.636364182.028.987.0165.3814121.6399680.0618311.5991190.0009521.4556000.3516971.615067
710GRomanina7162.1173931.920930e+063.01.561744235122.33659530481.70115.8682020.285714168.32930042.08232531.5617442311.9733694.571429100.08.835.3175.6995681.5735150.0784951.5125370.0013191.4893730.4255251.500229
810HGregna8441.4779822.712792e+063.01.105872535197.21376224895.3299.1770120.367647145.16073410.36862420.737248176.2666063.30882475.00.026.5109.1972741.2905550.0538231.2023760.0010831.1022550.2635621.269627
910IBarcaccia16540.4287545.064052e+062.00.39494124347.98529436983.8247.3032080.00000091.77723340.78988140.789881173.3569961.81818242.00.022.470.7213391.5709140.0346601.3850970.0006151.3254840.1660331.515023

Last rows

area_codearea_nameSHAPE_LengSHAPE_Arean_traffic_lightsdensity_traffic_lightsn_shopsdensity_shopsstreet_len_totstreet_densitymotorway_ration_food_amenitiesdensity_food_amenitiesn_education_amenitiesdensity_education_amenitiesn_service_amenitiesdensity_service_amenitiesn_all_amenitiesdensity_all_amenitiesperc_roads_bccar_accidentsperc_people_far_from_public_transportpop_densityavg_CO_2_per_roadCO_2_alphaavg_NO_x_per_roadNO_x_alphaavg_PM_per_roadPM_alphaavg_VOC_per_roadVOC_alpha
1458BTorre Maura7318.5090462.744615e+0611.04.007848838305.32518042811.30315.5982920.5714293613.11659520.72870072.5504494516.3957445.904762219.083.473.2230.6438121.5712570.0753571.4929770.0007531.3587810.4215611.559020
1468ELunghezza18199.5668761.258465e+070.00.00000071356.656311126081.25810.0186520.211119120.95354270.55623370.556233262.0660095.418719195.012.826.899.8066531.5343010.0356081.6318030.0003981.5580860.1907941.733674
1478CGiardinetti-Tor Vergata18684.6916529.033835e+069.00.996255927102.614228103323.91511.4374370.729262303.320849222.435289111.217645636.9737835.287147362.067.523.0196.6654131.6639220.0873941.7146830.0017471.5229240.3560241.719638
1488DAcqua Vergine17298.0290001.130021e+071.00.08849419317.07932135836.1443.1712801.09589000.00000030.26548200.00000030.2654825.479452124.00.86.4476.4148091.2702180.1463631.3184680.0014031.2572600.8253011.375517
1498HS. Vittorino53007.0299273.649538e+072.00.0548012667.288594102772.0432.8160292.16110000.00000010.02740100.00000010.0274018.644401156.01.23.9625.9778431.2571990.2650641.2969870.0042901.4343141.1272211.281452
1509ATuscolano Nord5646.3248231.091104e+0623.021.0795671089998.07169522783.08920.8807680.0000005954.0736731412.8310411513.7475448880.6522583.763441292.0100.0194.320.9791081.4117970.0164421.3572470.0005391.5421520.0772531.185237
1519BTuscolano Sud10241.2755303.184028e+0624.07.5376222599816.26167450443.29515.8426040.0000009529.836421103.1406763711.62050114244.5975982.770449370.099.4150.725.4015941.4547070.0212011.6039730.0009211.5572630.0912661.625274
1529CTor Fiscale4456.5824819.280540e+052.02.155047105113.13996210072.50910.8533650.00000011.07752300.00000000.00000011.07752313.40206224.059.324.844.1058581.0476970.0276861.1795940.0010001.0693860.1222731.098168
1539DAppio6630.5735521.356993e+0617.012.52769815201120.12354725629.05418.8866490.0000006044.21540364.4215401511.0538518159.6907948.333333270.089.7204.363.3274601.6660050.0479421.6684150.0029451.4473360.1875091.693498
1549ELatino6414.4599501.607978e+065.03.1094951157719.53703519844.52212.3412870.0000004628.60735053.109495159.3284846641.0453282.684564127.093.7142.418.9830741.3448520.0162621.3621770.0005601.4441760.0783341.356245